🐻⬇️🏀

Point Loma

Also known as: Point Loma
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 1157 (#53) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1178 (#50) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1147 (#40) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +19.3 (#24) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +5.9 (#272) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.764 (#262) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.5 More → 0.865 (#156) NetEff +14.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.8 More → 0.846 (#248) AdjNet +14.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.4 More → 0.873 (#238) AdjNet +16.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.9 | AdjD 60.4 More → 0.722 (#237) AdjO 70.9 | AdjD 60.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.7 | AdjD 61.5 More → 0.656 (#116) AdjO 68.7 | AdjD 61.5
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.731 (#151) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.729 (#150) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 1184 (#54) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Cal Poly Pomona L 62 - 71
2025-11-15 @ Cal St. San Marcos L 50 - 62
2025-11-19 vs Cal St. Dom. Hills W 73 - 48
2025-11-22 @ Saint Martin's W 75 - 65
2025-11-28 vs Western Ore. W 93 - 67
2025-11-29 vs Northwest Nazarene W 76 - 56
2025-12-04 @ Jessup W 81 - 60
2025-12-06 @ Fresno Pacific W 67 - 56
2025-12-13 vs Dominican (CA) W 76 - 71
2025-12-20 @ Azusa Pacific L 65 - 72
2026-01-01 @ Dominican (CA) L 74 - 80
2026-01-03 @ Menlo W 86 - 69
2026-01-10 @ CUI W 70 - 65
2026-01-13 vs Biola W 76 - 64
2026-01-17 vs Azusa Pacific W 80 - 55
2026-01-24 @ Vanguard W 59 - 57
2026-01-29 vs Chaminade W 79 - 50
2026-01-31 vs Fresno Pacific L 65 - 68
2026-02-05 vs Menlo W 78 - 62

2026 Roster

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Eiley Tippins - 17 24.9 14.8 5.6 1.3 1.0 1.0 2.2 10.1 11.4 107 5.9 35.2 58.1 0 73.9 3.15 62.0 58.1
Ruby Vlahov - 19 28.3 13.1 6.2 1.6 0.7 0.2 2.4 9.5 9.8 111 5.5 33.9 52.5 44.2 64.5 -1.0 63.7 63.0
Izzy Navarro - 19 30.8 11.5 4.5 6.9 4.0 0.9 3.3 11.8 12.6 190 9.5 63.1 37.3 22.4 52.4 4.3 43.1 41.1
Hannah Golan - 19 29.1 11.4 8.1 2.2 2.1 0.2 3.0 9.3 11.7 210 10.5 86.5 50.0 38.5 73.8 2.46 55.8 52.8
Maddie Mersch - 16 18.9 6.4 3.4 1.2 0.7 0.4 1.5 4.4 6.1 69 4.3 55.8 52.1 100.0 55.1 -0.16 55.1 52.8
Jocelyn Pascual - 19 21.3 5.7 1.0 1.6 0.5 0.1 1.8 4.7 2.4 89 4.5 33.1 32.6 32.1 74.4 1.14 50.0 42.7
Maddie Morrow - 19 21.6 4.5 1.5 1.4 0.7 0.2 1.0 4.4 2.8 79 4.0 37.4 35.7 34.3 100.0 -0.16 50.7 50.0
Emma Sales - 19 13.3 4.1 1.0 0.8 0.3 0.2 0.9 4.5 0.9 -5 -0.2 -3.1 34.1 24.4 47.4 -4.22 41.8 40.6
Cassidy Bartolotto - 19 13.5 3.2 3.9 0.9 0.3 0.1 1.3 2.7 4.5 32 1.6 19.1 41.2 45.8 66.7 0.0 54.2 52.0
Alyssa Malla - 14 5.4 1.1 0.4 0.3 0.0 0.1 0.8 0.6 0.6 7 0.4 5.9 50.0 60.0 83.3 -0.47 75.2 68.8

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG